Search results for "Segmentation"

Consumers’ Behavior in Decision-Making in Foodstuff Purchasing Process

2018

The purpose of this research is developing of model of market segmentation for food consumers, as well as determination the extent of influence of various factors influencing the behavior of the Latvian consumers while making the decision on purchase of these goods. In the course of the research approaches to market segmentation of food products consumers were used, as well as statistical data for Latvian food product market, described in literature, also the results of empirical researches. As a result the model of market segmentation for food consumers was developed, the extent of influence of various factors influencing the behavior of the Latvian consumers was determined based on the co…

Cost Management for IT Activities: A Case Study in the IT Division of a French Bank Using Activity-Based Costing

2013

The costs of information technology (IT) activities have been increasing rapidly these recent years, due to the technological sophistication and more market-oriented strategies that complexify the value chains of the firms. Many of these expenses do not relate to individual products but are associated to customers, market segments and distribution channels. In this context, the companies try to understand the cost of selling their products and services. This is the reason why customer-driven and market-oriented cost management approaches have gained in popularity.In this paper, we review in a first part the strategic cost management stream and the way we can give a customer orientation to c…

Texture Guided Active Appearance Model Propagation for Prostate Segmentation

2010

Fusion of Magnetic Resonance Imaging (MRI) and Trans Rectal Ultra Sound (TRUS) images during TRUS guided prostate biopsy improves localization of the malignant tissues. Segmented prostate in TRUS and MRI improve registration accuracy and reduce computational cost of the procedure. However, accurate segmentation of the prostate in TRUS images can be a challenging task due to low signal to noise ratio, heterogeneous intensity distribution inside the prostate, and imaging artifacts like speckle noise and shadow. We propose to use texture features from approximation coefficients of Haar wavelet transform for propagation of a shape and appearance based statistical model to segment the prostate i…

Industry specialization and audit fees: a meta-analytic approach

2015

Purpose The purpose of this paper is to provide a comprehensive review of the literature that links auditor’s industry specialization (AIS) and audit fees (AFs) in order to clarify the puzzle of published results and provide overall conclusions that would help in future research. Design/methodology/approach To achieve this goal, the authors applied meta-analysis techniques in order to summarize, quantify and evaluate the published data related to the association between AIS and AF. Findings The meta-results are more robust when the proxy for AIS is the audit firm’s market share above 20 percent or the audit firm is jointly the national and city leader. For US-based studies, results are hom…

Segmentation, involvement and the reach-engagementrelationship: evidence from a QR code advertising campaign

2013

This paper presents a procedure that practitioners must follow before assessing the reach-­‐engagement relationship in a “pull” campaign. It is suggested to check for the independence between this relationship and that between segmentation and product involvement. If the two relationships are independent, then segmentation becomes less relevant when assessing the reach-­‐engagement relationship. Otherwise, an unobservable segmentation variable must be accounted for in the reach-­‐engagement relationship. These aspects of segmentation are never mentioned in the extant literature, which treats segmentation in “pull” campaigns the same way in which targeting is designed in “push” campaigns. Th…

Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts using Multi-task Learning and K-Space Motion Artefact Augmentation

2022

The movement of patients and respiratory motion during MRI acquisition produce image artefacts that reduce the image quality and its diagnostic value. Quality assessment of the images is essential to minimize segmentation errors and avoid wrong clinical decisions in the downstream tasks. In this paper, we propose automatic multi-task learning (MTL) based classification model to detect cardiac MR images with different levels of motion artefact. We also develop an automatic segmentation model that leverages k-space based motion artefact augmentation (MAA) and a novel compound loss that utilizes Dice loss with a polynomial version of cross-entropy loss (PolyLoss) to robustly segment cardiac st…

La crise inscrit-elle les jeunes en France dans une dynamique de gagnants-perdants ?

2016

International audience; L'entrée des jeunes dans la vie active est particulièrement sensible aux aléas conjoncturels. L'objet de cette communication est d'appréhender les conséquences de la crise financière de 2008 sur les premières années de vie active des jeunes en mobilisant la théorie de la segmentation du marché du travail formulée par Doeringer et Piore (1971). Dans le sens de cette théorie, les emplois précaires ou instables seraient davantage l'apanage des jeunes en début de vie professionnelle. Mais qu'en est-il en temps de crise ? S'agit-il d'un point de passage plus ou moins inévitable pour toutes et tous, ou l'emploi précaire demeure-t-il pour une main-d'oeuvre captive tels les …

Statistical identification with hidden Markov models of large order splitting strategies in an equity market

2010

Large trades in a financial market are usually split into smaller parts and traded incrementally over extended periods of time. We address these large trades as hidden orders. In order to identify and characterize hidden orders we fit hidden Markov models to the time series of the sign of the tick by tick inventory variation of market members of the Spanish Stock Exchange. Our methodology probabilistically detects trading sequences, which are characterized by a net majority of buy or sell transactions. We interpret these patches of sequential buying or selling transactions as proxies of the traded hidden orders. We find that the time, volume and number of transactions size distributions of …

Multimodal Image Segmentation for Radiation Treatment Planning

A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning

2017

The aim of this study is to combine Biological Target Volume (BTV) segmentation and Gross Target Volume (GTV) segmentation in stereotactic neurosurgery.Our goal is to enhance Clinical Target Volume (CTV) definition, including metabolic and morphologic information, for treatment planning and patient follow-up.We propose a fully automatic approach for multimodal PET and MR image segmentation. This method is based on the Random Walker (RW) and Fuzzy C-Means clustering (FCM) algorithms. A total of 19 brain metastatic tumors, undergone stereotactic neuro-radiosurgery, were retrospectively analyzed. A framework for the evaluation of multimodal PET/MRI segmentation is presented, considering volume…